Job Description Work Arrangement: Hybrid: This role is categorized as hybrid. The selected candidate is expected to report to Warren, MI or Sunnyvale, CA at least three days per week (Tuesday–Thursday). Our Mission: At General Motors,
About the role and team Engineering at Uber means building for real-world impact under real-world constraints. As a Senior Software Engineer, you will architect mission-critical systems that power the foundation of trust across our global marketplace
Cerebras Systems builds the worlds largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order
Cerebras Systems builds the worlds largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the
Job Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.We’returningtoday’simpossible into tomorrow’s standard
Job Description About the Role The Smart Collect team builds the platform that determines what vehicle data to collect, validates collection configurations, deploys them across fleets, and monitors the resulting data from vehicle to cloud. We
Who we are Altimate AI provides an expert agentic data engineering harness to automate the work of data teams. These generate data pipelines, write data documentation/tests, and optimize data infrastructure autonomously. In particular they help to
Cerebras Systems builds the worlds largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order